17results about How to "Simplify calculation steps" patented technology

The invention belongs to the field of satellite imaging algorithms, and particularly relates to a method for predicting an earth observation imaging window of an imaging satellite, which is used for imaging an imaging target and comprises the following steps of: 1, roughly searching; step 2, performing imaging estimation; and step 3, performing imaging correction. Compared with the prior art, the imaging satellite task planning method solves the problems that in the prior art, imaging satellite task planning takes little consideration to constraint conditions, calculation errors are large, algorithms are complex, and the imaging effect is poor, and perturbation and errors caused by the factors such as the earth oblateness, the orbit eccentricity rate and the atmospheric resistance are considered in the scheme. And a simple and rapid iterative algorithm is further applied to solve a satellite imaging window, so that the efficiency and the accuracy of an autonomous task are improved.

The invention relates to a rapid antenna anti-collision detection method, which can independently operate in a control box of a helical antenna or can operate in a control box of a plurality of helical antennas in a matched manner, so that the helical antenna does not generate collision risk, and a collision detection result can be rapidly and efficiently calculated. The method comprises the following steps: 1) establishing a three-dimensional coordinate system on the basis of rotary tables and mounting planes of two antennas; 2) taking the horizontal and pitching angles of the rotary table and the length of the antenna as input parameters of collision detection; 3) calculating a projection relation between an XY plane and a YZ plane based on coordinate projection; and 4) judging the collision risk according to a calculation result. According to the invention, the problems that the resource occupation is too high and the detection speed is not timely when the single-chip microcomputer in the control box carries out collision risk detection are solved, and the operation efficiency of the control box is improved through an optimized algorithm.

The invention discloses a rapid radar signal sorting method based on simplified multi-parameter clustering, and the method comprises the steps: carrying out the matching of frequency and pulse width parameters in a pulse description word with each known radiation source parameter in a target library, and carrying out the shunting of the pulse description word according to a matching calculation result; when successfully matching with the target library, acquiring the current phase difference of the equipment, calculating the azimuth angle and the pitch angle at the current moment, and outputting the target number, the frequency, the pulse width, the repetition frequency and the calculated angle information in the library in real time; a K-Means-based dynamic clustering algorithm is selected, simplified pulse parameters are used, and unknown pulse data streams are divided into a plurality of clusters through two parameters of frequency and pulse width; taking the pulse arrival time sequence corresponding to each clustering result as the input of main sorting in sequence, and carrying out pulse repetition period sorting and detection on unknown radar signals; and carrying out harmonic verification on the counted first-level pulse arrival time difference, judging the type of the radar, and sorting the repetition frequency of the single radar.

This invention relates to a method for determining the contamination level near a wellbore based on a skin factor derived from thermodynamic parameters. The method includes: measuring wellbore parameters and thermodynamic parameters; establishing a pressure relationship equation near the wellbore based on the wellbore parameters and thermodynamic parameters; establishing a temperature relationship equation near the wellbore based on the wellbore parameters and thermodynamic parameters; solving for the skin factor based on the pressure and temperature relationship equations; and determining the contamination level near the wellbore based on the skin factor. This invention can quickly calculate the skin factor from a thermodynamic perspective when the thermodynamic parameters are known, without the need for fitting well test curves, thus improving the efficiency of well test interpretation to a certain extent. The calculation steps are simple and the method is fast.

The invention relates to the technical field of circuit system analysis, in particular to a method, a system and equipment for measuring parameters of a transformer. An excitation current source is applied to the primary side of a to-be-measured transformer, an open circuit of the secondary side is kept, the alternating voltage of the secondary side is measured, the real part and the imaginary part of the ratio of the alternating voltage of a secondary side winding to the alternating input current of a primary side winding are calculated, and the excitation resistance and the excitation inductance of a magnetic core are obtained according to the real part and the imaginary part. Stopping applying excitation, measuring port resistance and inductance from a primary side port, and calculating primary side leakage resistance and leakage inductance in combination with obtained excitation parameters; and opening the primary side, measuring the port resistance and inductance from the secondary side port, and calculating the secondary side leakage resistance and leakage inductance in combination with excitation parameters. The testing method is easy and convenient to operate, the calculation process is simplified, and the parameter measuring precision of the transformer is effectively improved.

The invention provides an electrolyte leakage rate detection method and system, and the method comprises the steps: collecting current signal points, and filtering the current signal points to obtain effective data points; calculating a final current value according to the effective data points; and obtaining a leakage rate value according to the calculated final current value and a pre-calibrated corresponding relation between the current value and the leakage rate value. According to the electrolyte leakage rate detection method and system provided by the invention, the calculation steps can be simplified, the calculation accuracy of the leakage rate value is improved, the precision and stability of electrolyte leakage rate detection are effectively improved, and the detection efficiency is improved.

The invention provides a centrality calculation method and system based on known intimacy and relation contribution degree between individuals. The centrality calculation method comprises the following steps: converting collected social network data into two matrix data in response; the two pieces of matrix data comprise an inter-individual intimacy data matrix and a relation contribution degree data matrix, each element of the inter-individual intimacy data matrix represents the intimacy between two specific individuals, and each element of the relation contribution degree data matrix represents the contribution degree of the inter-individual intimacy by other individuals; and converting a calculation formula of degree centrality, proximity centrality and intermediary centrality into a formula for calculation based on the intimacy between known individuals. According to the scheme of the invention, the known intimacy between individuals in the social network and the contribution degree of common adjacent nodes to the intimacy are considered, and more efficient and convenient calculation of degree centrality, approach centrality and intermediary centrality is realized by converting complex graph calculation into simple matrix calculation.

The application relates to a method for testing the in-plane shear performance of a sandwich structure composite material, comprising the following steps: preparing a test piece with a sandwich structure, wherein the test piece with the sandwich structure comprises a core plate, non-test panels and test panels adhered to upper and lower end surfaces of the core plate; bonding three reinforcing plates on the test panels at intervals along the width, which are respectively a middle reinforcing plate and two side end reinforcing plates, gaps are arranged between the middle reinforcing plate and the corresponding side end reinforcing plates, the middle reinforcing plate and the two side end reinforcing plates extend out of the test panel in opposite directions, wherein a first connecting hole is arranged at the extending end of the middle reinforcing plate, and clamp connecting holes are arranged at the extending ends of the two side end reinforcing plates; saw slits corresponding to the upper and lower gaps of each gap are arranged on the non-test panels, and the depths of the saw slits extend into the test piece; and the problems of a complex test fixture and low test efficiency of a civil aviation cabin floor test are solved through the above design.

Based on the improved Kriging algorithm, the dynamic pricing optimization method of virtual power plants is used to initialize system parameters and input raw data; generate an initial data sample set; bring each group of transaction electricity prices into the upper-level DNO model and the energy management model of the lower-level VPP, and calculate the transaction electricity of each VPP corresponding to each group of transaction electricity prices. The initial sample data set is brought into the upper-level DNO solution model, and the upper-level objective function value corresponding to each group of transaction electricity prices is calculated. The key area is determined according to the upper-level objective function value. In each key area, the genetic algorithm is used to solve the local optimal electricity price. The lower-level VPP energy management model is called to calculate the real transaction electricity, and it is updated to the current sampling point set as an excellent sampling point, so as to calculate the real value in the upper-level DNO model, and the global optimal solution is obtained through repeated iteration and comparison. This method can not only protect the privacy of the lower-level virtual power plant, but also simplify the calculation steps and improve the solution efficiency.

The invention relates to the technical field of image processing, and provides a method for measuring the sharpness SFR of a camera based on LabVIEW. Preset rules are set, and when an image to be tested is acquired, all preselected images can be automatically found from the image to be tested; then the edge contrast of the preselected image is calculated, and whether the preselected image is an ROI image can be quickly determined according to digital data of the edge contrast, thereby automatically screening out the ROI image in the image to be tested; and based on LabVIEW graphical programming, secondary development and integrated use can be performed according to different devices, thereby improving the compatibility and flexibility of the algorithm.

The invention relates to the technical field of water turbine impellers, and discloses a pumping and storage impeller vertical static balance process, which comprises the following steps of: 1, mounting a positioning flange and an impeller, drawing + / -X and + / -Y by taking the center of the impeller as an original point, supporting the impeller by three dynamometers, enabling a supporting included angle alpha of the three dynamometers to be 120 degrees, enabling a dynamometer I to be positioned on a + X axis, enabling a dynamometer II to be positioned in a second quadrant, and enabling a dynamometer II to be positioned in a third quadrant; the third dynamometer is located in a third quadrant; 2, acquiring three dynamometer parameters A, B and C in sequence; step 3, calculating the unbalance amount: the unbalance amount on the X axis: X = A-(B + C) * sin30 degrees; the unbalance amount on the Y axis is Y = (B-C) * cos 30 degrees; the total unbalance G is calculated according to the unbalance on the X axis and the unbalance on the Y axis; 4, the orientation is determined, and the included angle between the orientation and the Y axis is arctan (X / Y); and step 5, the unbalance amount of the product is removed.

The invention relates to a spectral wavelength sliding correction system and method. The system comprises a deuterium lamp, an NO standard gas tank, a measuring cell, a spectrum analyzer, a storage module, a timing module, a calculation module and a correction module, the method comprises the following steps: acquiring a deuterium lamp spectrum with NO standard gas characteristics as a reference background spectrum; regularly collecting a deuterium lamp spectrum with NO standard gas characteristics as a background spectrum to be corrected; performing normalization and self-difference processing on the background spectrum to be corrected and the reference background spectrum; determining the coarse drift distance of the background spectrum to be corrected by taking one pixel point as a unit; performing interpolation on all pixel points of the background spectrum to be corrected after coarse correction, and performing normalization and self-difference processing; and calculating the fine drift distance between the background spectrum to be corrected and the reference background spectrum after interpolation by taking one interpolation point as a unit. The spectrum wavelength sliding correction can be carried out on the spectrum analyzer with the deuterium lamp as a light source, and the measurement precision of the spectrum analyzer is improved.

The present application relates to the field of gear transmission system thermal analysis, and more particularly to a kind of asymmetric helical gear contact surface temperature prediction method and system based on thermal network, the method comprises: S1, the basic parameters of asymmetric helical gear are acquired, and gear thermal network model is constructed, S2, the friction heat flow is calculated, S3, the heat conduction thermal resistance and heat convection thermal resistance are calculated, S4, the thermal network topological structure is constructed, and the body temperature value of each node of driving wheel and the body temperature value of each node of driven wheel are obtained by solving, S5, the contact surface body temperature is solved. Realize the quick analysis of asymmetric helical gear body temperature, it is favorable to more quickly solve.

The invention discloses an expansion calculation method and system for an error of an electromagnetic voltage transformer under a full load, and belongs to the technical field of AC voltage testing. The method comprises the following steps: acquiring an error of the electromagnetic voltage transformer under any two loads, and determining an error of the electromagnetic voltage transformer under a full load based on the error under any two loads; calculating the no-load error of the electromagnetic voltage transformer based on the error of the electromagnetic voltage transformer under the full load and the relationship between the load error and the no-load error; and based on the no-load error and the distribution rule of the load errors of the electromagnetic voltage transformer under different loads, calculating to obtain an extended actual error of the electromagnetic voltage transformer under the full load. According to the method, the calculation steps are simple, the error under the full load can be obtained through theoretical calculation without carrying out test wiring, and the workload of operation and maintenance personnel is greatly reduced.

The present application provides a gridless DOA estimation method and device based on cross-grouped semi-positive definite programming. The method provided by the present application includes: cross-grouping the MIMO signal matrix to obtain a cross-signal matrix; cross-grouping the first direction matrix and the second direction matrix to obtain a third direction matrix and a fourth direction matrix, respectively calculating the corresponding signal matrix based on the third direction matrix and the fourth direction matrix to obtain a cross-signal matrix; based on the vectorized cross-signal matrix, establishing and solving the atomic norm to obtain the optimal solution; performing eigendecomposition on the optimal solution, and determining the DOA estimation result based on the decomposition result. The method and device provided by the present application are used to adjust the gridless compressed sensing algorithm to adapt to the MIMO system, so as to realize the DOA estimation of the MIMO system.

The invention discloses a method, medium and system for judging the looseness of a transformer winding, and the method comprises the steps: applying an axial acting force to an insulating cushion block and an insulating end ring cushion block of a transformer, so as to simulate the axial acting force borne by the transformer winding in the operation process of the transformer, elastic coefficients of the insulating cushion block and the insulating end ring cushion block under different axial acting forces are collected; fitting to obtain a calculation equation of the elastic coefficients of the insulating cushion block and the insulating end ring cushion block through the elastic coefficients of the insulating cushion block and the insulating end ring cushion block under different axial acting forces; substituting the calculation equation of the elastic coefficients of the insulating cushion block and the insulating end ring cushion block into an axial mass-spring model of the transformer winding, and calculating to obtain the axial displacement of a winding wire cake under the axial acting force on the transformer winding; and comparing the calculated axial displacement of the winding wire cake with a preset axial displacement of the winding wire cake when the transformer winding is loosened, and judging whether the transformer winding is loosened or not. Whether the winding is loosened or not can be accurately judged.

According to the technology, an 8-transistor SRAM (Static Random Access Memory) is adopted as a basic unit for weight storage and point multiplication operation, and an in-memory calculation macro circuit model based on a complement mapping method is designed based on the characteristic of bitwise operation of complement operation. Under the condition that symbol weight storage exists and the calculation scale is the same, the area overhead of the SRAM array is reduced, the complexity of the circuit is reduced, and the calculation efficiency is improved.